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Keep client profiles, booking history and contact channels organized in one workspace.
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Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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What I check before calling a SaaS MVP launch-ready
A SaaS MVP is not launch-ready just because the main flow works once.
While building Elyris, a booking and CRM SaaS platform for service professionals, I learned to look at the product as a full system — not just screens.
Before launch, I usually check:
• Can the user complete the core workflow without confusion?
• Are booking, payment, confirmation and message delivery treated as separate facts?
• Are edge cases handled clearly?
• Does the backend own the source of truth?
• Are error states understandable?
• Are mobile and slow-network paths usable?
• Is there a clear QA / smoke checklist before release?
• Do we know what is still unfinished?
For early SaaS teams, this kind of product and QA work can be the difference between “it technically works” and “it is safe enough to put in front of real users.”
That is the kind of work I focus on: product scoping, workflow design, QA, release readiness and AI-assisted SaaS delivery.
That point about launch readiness being a full-system question, not just a happy-path demo, really lands. Which failure mode in Elyris changed your checklist the most?
Manage daily bookings, appointment details and scheduling decisions from one operational calendar workspace.
Day 5/30: MISREGISTER
An operating-room case can still look ready on paper after it has stopped being operationally executable.
I built MISREGISTER to make that gap physical.
CASE 04 is connected to four changing dependencies:
— staffed OR team
— sterile instrument set
— postoperative ICU bed
— remaining operating-room time
As those windows drift apart, the operating list stays unchanged.
The signature moment: the crank freewheels to the end-stop while CASE 04 still reads SCHEDULED.
Only after that failed test does a human re-strike the case as DELAYED or RESEQUENCED.
This is not clinical decision support. It is a synthetic operational prototype exploring the difference between a scheduled slot and executable capacity.
Built with React, TypeScript, SVG, Playwright, Remotion, Claude Code, Kimi, Agent Reach, ChatGPT, and AI33Pro.
Live prototype:
https://faadil1.github.io/misregister-day-5/
Making readiness physically understandable instead of dashboard-inferred is such a good design goal, that's usually the exact gap that causes people to ignore dashboards in the first place. Curious to see where you take the physical interaction idea next.
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